NXP

Senior Data Scientist

India · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerNXP
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted1 Jul 2026

Are you ready to join the future of innovation at NXP?

As a Data Scientist, you will directly contribute to increasing the speed and cost efficiency of NXP’s New Product Introductions. Your work will enable data driven decision making in R&D through high quality insights, automated reporting, and scalable analytics products.

Working closely with data engineers and data scientists, you will help define the future of R&D analytics at NXP. You build robust, automated, and user friendly dashboards and reports that empower our R&D community with self service business intelligence capabilities.

This is what you will do as Data Scientist at NXP

As part of the Hardware Design Analytics team, you will innovate and evolve the analytics products that support our R&D organization. You will have plenty of room for new ideas, experimentation, and technology improvements collaboration is at the core of how we work.

Show full description

Your key responsibilities

Stakeholder Collaboration: Work with project managers, resource managers, IT teams, and other stakeholders to gather requirements, define project scope, and ensure alignment with business objectives.
Data Analysis: Collect, analyze, and interpret datasets from R&D projects to uncover trends, key performance indicators, risks, and opportunities. Translate complex data into meaningful business insights through reliable, high quality visualizations and clear analytical storytelling.
Dashboarding & Reporting: Design, develop, and maintain powerful and trustworthy dashboards and automated reports using Python. Ensure that visualizations clearly communicate insights and support impactful decisionmaking. Gather user feedback and iterate to continuously improve usability and impact.
Machine Learning & AI Development: Build and deploy ML models (e.g., forecasting, NLP, optimization, automation) to improve R&D efficiency and quality. Ensure proper evaluation, explain ability, and production monitoring.
Data Engineering Support: Collaborate with data engineers to improve data pipelines, data quality, and data models used for reporting and analytical products.
Automation & DevOps: Build analytics solutions with a DevOps mindset ensure reproducibility, automation, and quality by leveraging CI/CD pipelines, version control, and modern development practices.

What you bring

You can describe yourself as follows:

Education & Experience

Education: A master’s degree in Business Intelligence, Data Engineering, Data Science, Software Engineering, Computer Science, or a related field.
Experience: 3+ years of experience as a Data Scientist, preferably within a complex IT or R&D environment.

Technical Skills

Coding: Strong proficiency in Python and SQL, including experience working with data processing libraries and frameworks. Hands on experience with Shiny, Plotly and other python visualization packages is a big plus.
Visualization: Experience building dashboards and reports, and a passion for data visualization and user‑centric design.
Machine Learning: Experience in ML and AI frameworks (e.g., scikit‑learn, PyTorch, TensorFlow, XGBoost).
Automation: A strong interest in automation, cloud technologies, Infrastructure as Code (preferably using CDK), DevOps practices, and CI/CD pipelines (preferably using Gitlab).

Professional Attributes

Strategic Problem-Solving: Comfortable owning technical challenges and designing long term, scalable solutions.
Customer & Stakeholder Focus: Strong communicator who can translate technical concepts into business value and collaborate effectively across data science, architecture, and wider R&D.
Team Mindset: A natural collaborator who contributes to an open, supportive working culture
Agile & Scrum: Experienced working in Agile environments, actively participating in sprints, stand ups, and iterative delivery cycles to ensure continuous improvement and timely value delivery.

More information about NXP in India...

#LI-29f4

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.